Big Data Specialist

Role Overview: We are seeking a highly skilled Big Data & Cloud Technologies Training & Mentorship Specialist to design, deliver, and mentor teams on cutting-edge data engineering, analytics, and cloud practices. The ideal candidate will have deep technical expertise in Azure, AWS, CI/CD pipelines, ETL processes, and modern data platforms like Databricks, DBT, Snowflake, and Terraform, as well as a passion for knowledge transfer, upskilling teams, and building high-performing data talent. Key Responsibilities: • Training Design & Delivery • Develop structured training programs, hands-on labs, and real-world project simulations for Big Data technologies and cloud platforms. • Deliver instructor-led sessions (both in-person and virtual) tailored for developers, data engineers, analysts, and DevOps teams. • Mentorship & Skill Development • Provide one-on-one and group mentorship to guide team members in mastering tools, frameworks, and workflows. • Conduct code reviews, architecture guidance, and best practices workshops. • Technical Enablement • Create learning roadmaps for Azure Data Services, AWS Data Solutions, CI/CD, and Infrastructure as Code (IaC) using Terraform. • Mentor teams on designing scalable ETL pipelines and optimizing workloads in Databricks, DBT, and Snowflake. Process & Best Practices Establish coding standards, governance models, and documentation templates for data engineering and cloud workflows. Integrate training content with CI/CD best practices and agile delivery methods. Required Technical Skills: Big Data & Cloud Platforms: Azure Data Factory, Azure Databricks, AWS Glue, AWS Lambda, EMR, Redshift. Data Engineering & ETL: Building and optimizing ETL/ELT workflows using Databricks, dbt, and Snowflake. DevOps & CI/CD: Designing and implementing automated CI/CD pipelines using tools like Azure DevOps, GitHub Actions, GitLab CI/CD, Jenkins. Infrastructure as Code (IaC): Proficient in Terraform for deploying and managing cloud infrastructure. Programming & Scripting: Python, SQL, PySpark, Shell scripting. Version Control & Collaboration: Git-based workflows, branching strategies, and peer review practices. Qualifications & Experience: Bachelor’s/Master’s degree in Computer Science, Data Engineering, or related field (or equivalent practical experience). 10+ years of hands-on experience in Big Data Engineering and Cloud Platforms. Proven track record in designing and delivering technical training programs. Experience mentoring technical teams in enterprise or consulting environments. Strong understanding of data governance, security, and compliance in cloud environments. Soft Skills: Excellent communication and presentation abilities. Strong leadership and motivational skills to inspire learning and growth. Ability to adapt training styles for different technical proficiency levels. Problem-solving mindset with a focus on practical, real-world applications. Why Join Us? Opportunity to shape the next generation of Big Data & Cloud experts. Work with cutting-edge tools and enterprise-scale data environments. Collaborate with a dynamic and innovative technology-driven team.